Due to rapid global economic integration, steel industries face
big challenges. To be competitive in the market, steel plants need
to provide on-time delivery, accurate delivery, and high-quality
product. It is also important to have high equipment utilization
and low production cost to meet both external market and internal
manufacturing requirements. Due to the bulky machines and high
operating costs, order planning plays an important role in steel factories.
Order planning is to schedule machines and processes in the
production line according to due dates, product types, quality
requirements, and machine capacity. The quality of order planning
can directly affect the performance of a steel factory. The method
used in order planning determines the output. However, method
selection is restricted by the management architecture. This paper
is building a mixed integer nonlinear programming model to solve
the ordering planning problem under the hybrid MTO/MTS